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APPLICATION OF THE CONCEPT OF SUBJECTIVE ENTROPY TO EVALUATION OF CLUSTERING ALGORITHMS.

  • Witold Pedrycz

Research output: Contribution to journalArticlepeer-review

Abstract

Characterization of various methods of fuzzy clustering is dealt with using the concept of probabilistic sets and their subjective entropy. General schemes of clustering techniques with objective performance-indices-criterion-functions are discussed. Various indices characterizing subjective entropy of clustered objects with respect to established classes, and indices expressing degree of interaction between clusters are mentioned.

Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalAdvances in modelling & simulation
Volume4
Issue number2
Publication statusPublished - 1985

ASJC Scopus subject areas

  • General Engineering

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